Overview of the atomic norm and examples of applications and implementations
Atomic norm overview
The atomic norm is a type of norm used in fields such as optimisation and signal ...
機械学習:Machine Learning
About Stacked RNN
Overview of Stacked RNN
Stacked RNN (Stacked Recurrent Neural Network) is a type of recurrent neural netwo...
Overview of the classification problem using the Fisher computation method and examples of algorithms and implementations
Overview of classification problems using the Fisher computation method.
Fisher's Linear Discriminant (Fisher's...
Extraction of emotions through speech and image recognition, natural language processing and biometric analysis
Introduction
Various models for emotion recognition have been proposed, as described in "Emotion recognition...
Overview of TD3 (Twin Delayed Deep Deterministic Policy Gradient), algorithms and implementation examples.
Overview of TD3 (Twin Delayed Deep Deterministic Policy Gradient)
TD3 (Twin Delayed Deep Deterministic Poli...
How to define metapaths to handle different edge types of non-homogeneous graphs
How to define metapaths to handle different edge types of non-homogeneous graphs
A metapath is a graph pat...
Overview of the Frank-Wolff method and examples of its application and implementation.
Overview of the Frank Wolff method
The Frank-Wolfe method is a numerical algorithm for solving non-linear optim...
About Deep RNN
Overview of Deep RNN
Deep RNN (Deep Recurrent Neural Network) is a type of recurrent neural network (RNN),...
Overview of the Fisher Information Matrix and Related Algorithms and Examples of Implementations
Overview of Fisher Information Matrix
The Fisher information matrix, a concept used in statistics and informati...
Overview of Double Q-Learning and Examples of Algorithms and Implementations
Over view of Double Q-Learning
Double Q-Learning is a type of Q-Learning described in "Overview of Q-Learni...